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SCRaPL: A Bayesian hierarchical framework for detecting technical associates in single cell multiomics data
Single-cell multi-omics assays offer unprecedented opportunities to explore epigenetic regulation at cellular level. However, high levels of technical noise and data sparsity frequently lead to a lack of statistical power in correlative analyses, identifying very few, if any, significant association...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249169/ https://www.ncbi.nlm.nih.gov/pubmed/35727848 http://dx.doi.org/10.1371/journal.pcbi.1010163 |